Resource Use in the Last Year of Life Among Patients Who Died With Versus of Prostate Cancer

Evaluation of Direct Medical Costs and Associated Factors Within the Last 30 days of Life of Hospitalized Cancer Patients

Background: An estimated 9.6 million people died from cancer globally in 2018, which is a reflection of the quality of patients' end-of-life care and its costs. Aim: To estimate direct medical costs of the last 30 days of oncology patients admitted to an inpatient clinic and to evaluate factors associated with medical costs at the end of life. Design: Cost-of-illness study with data from a retrospective cohort. Setting/Participants: We included patients aged 18 and older who were diagnosed with incurable cancer and who were admitted to a tertiary hospital in Brazil between January 1, 2018 and December 31, 2019. Results: Our sample included 109 patients with an average age of 69 (61‒76). The median overall survival was 4.3 (.9‒12.9) months. The median cost per patient per day related to hospitalization was BRL 119 (73‒181)/United States dollars [USD] 21 (13‒33). The cost of medication was BRL 66 (40‒105)/USD 12 (7‒19), representing 55.46% of costs while that of materials and supplies was BRL 30 (18‒49)/USD 5 (3‒9). In the multivariate analysis, when the limitation of interventions was recorded in the medical record, the median cost is reduced by BRL 50 (USD 9) per patient per day. Conclusions: The median cost per patient per day was BRL 119 (73‒181). The recording of limitations of therapeutic interventions in the medical record was a predictor variable that influenced the final medical cost of patients, suggesting that medical practice and decision-making in end-of-life care impact costs.

Resource use in the last year of life of prostate cancer patients-A register-based analysis

BACKGROUND

Given the paucity of data on the end of life (EOL) of prostate-cancer (PC) patients, we investigated medication prescription patterns and hospitalizations during their final year of life.

METHODS

The data base of the Österreichische Gesundheitskasse Vienna (ÖGK-W) was used to identify all men who died with the diagnosis PC between 1.1.2015 and 31.12.2021 and who were under androgen deprivation and/or new hormonal therapies. Patient age, prescription patterns and hospitalizations during the last year of life were recorded, odds ratios for age groups were analyzed.

RESULTS

A total of 1.109 patients were included. ADT was given in 86.7% (n = 962) and NHT in 62.8% (n = 696). Overall, prescription of analgesics increased from 41% (n = 455) during the first to 65.1% (n = 722) in the last quarter of the final year of life. Prescription of NSAIDs was almost consistent (18-20%) whereas the number of patients receiving other non-opioids (paracetamol, metamizole) more than doubled (18 to 39%). Older men had lower prescription rates for NSAID (OR: 0.47, 95% CI: 0.35-0.64), non-opioids (OR: 0.43, 95% CI: 0.32-0.57), opioids (OR: 0.45, 95% CI: 0.34-0.6) and adjuvant analgesics (OR: 0.42, 95% CI: 0.28-0.65). Approximately 2/3 of patients (n = 733) died in the hospital with a median of four hospitalizations in the final year of life. The overall cumulative length of admission was less than 50d in 61.9%, 51-100d in 30.6% and >100d in 7.6%. Younger patients (<70 yrs) were more likely to die in the hospital (OR: 1.66, 95% CI: 1.15-2.39), had a higher median rate of hospitalizations (n = 6) and longer cumulative duration of admissions.

CONCLUSIONS

Resource use increased during the last year life of PC patients with highest rates in younger men. Hospitalization rates were high and 2/3 died in the hospital, both showed clear age dependency with higher rates, duration and death in the hospital for younger men.

Clarifying the Trade-Offs of Risk-Stratified Screening for Prostate Cancer: A Cost-Effectiveness Study

Cancer risk prediction is necessary for precision early detection, which matches screening intensity to risk. However, practical steps for translating risk predictions to risk-stratified screening policies are not well established. We used a validated population prostate-cancer model to simulate the outcomes of strategies that increase intensity for men at high risk and reduce intensity for men at low risk. We defined risk by the Prompt Prostate Genetic Score (PGS) (Stratify Genomics, San Diego, California), a germline genetic test. We first recalibrated the model to reflect the disease incidence observed within risk strata using data from a large prevention trial where some participants were tested with Prompt PGS. We then simulated risk-stratified strategies in a population with the same risk distribution as the trial and evaluated the cost-effectiveness of risk-stratified screening versus universal (risk-agnostic) screening. Prompt PGS risk-adapted screening was more cost-effective when universal screening was conservative. Risk-stratified strategies improved outcomes at a cost of less than $100,000 per quality-adjusted life year compared with biennial screening starting at age 55 years, but risk stratification was not cost-effective compared with biennial screening starting at age 45. Heterogeneity of risk and fraction of the population within each stratum were also important determinants of cost-effectiveness.

Economic Evaluation of Urine-Based or Magnetic Resonance Imaging Reflex Tests in Men With Intermediate Prostate-Specific Antigen Levels in the United States

OBJECTIVES

For men with intermediate prostate-specific antigen (PSA) levels (4-10 ng/mL), urine-based biomarkers and multiparametric magnetic resonance imaging (MRI) are increasingly used as reflex tests before prostate biopsy. We assessed the cost effectiveness of these reflex tests in the United States.

METHODS

We used an existing microsimulation model of prostate cancer (PCa) progression and survival to predict lifetime outcomes for a hypothetical cohort of 55-year-old men with intermediate PSA levels. Urine-based biomarkers-PCa antigen (PCA3), TMPRSS2:ERG gene fusion (T2:ERG), and the MyProstateScore (MPS) for any PCa and for high-grade (Gleason score ≥7) PCa (MPShg)-were generated using biomarker data from 1112 men presenting for biopsy at 10 United States institutions. MRI results were based on published sensitivity and specificity for high-grade PCa. Costs and utilities were sourced from literature and Medicare reimbursement schedules. Outcome measures included life years, quality-adjusted life years (QALYs), and lifetime medical costs per patient. Incremental cost-effectiveness ratios were empirically calculated on the basis of simulated life histories under different reflex testing strategies.

RESULTS

Biopsying all men provided the most life years and QALYs, followed by reflex testing using MPShg, MPS, MRI, T2:ERG, PCA3, and biopsying no men (QALY range across strategies 15.98-16.09). Accounting for costs, MRI and MPShg were dominated by other strategies. PCA3, T2:ERG, and MPS were likely to be the most cost-effective strategy at willingness-to-pay thresholds of $100 000/QALY, $125 000/QALY, and $150 000/QALY, respectively.

CONCLUSIONS

Using PCA3, T2:ERG, or MPS as reflex tests has greater economic value than MRI, biopsying all men, or biopsying no men with intermediate PSA levels.

Socio-Economic Burden of Myocardial Infarction Among Cancer Patients

Cancer patients face a higher risk of future myocardial infarction (MI), even after completion of anticancer therapies. MI is a critical source of physical and financial stress in noncancer patients, but its impacts associated with cancer patients also saddled with the worry (stress) of potential reoccurrence is unknown. Therefore, we aimed to quantify MI's stress and financial burden after surviving cancer and compare to those never diagnosed with cancer. Utilizing cross-sectional national survey data from 2013 to 2018 derived from publicly available United States datasets, the National Health Interview Survey , and economic data from the National Inpatient Sample , we compared the socio-economic outcomes in those with MI by cancer-status. We adjusted for social, demographic, and clinical factors. Overall, 19,504 (10.2%) of the 189,836 National Health Interview Survey responders reported having cancer for more than 1 year. There was an increased prevalence of MI in cancer survivors compared with noncancer patients (8.8% vs 3.2%, p <0.001). MI was associated with increased financial worry, food insecurity, and financial burden of medical bills (p <0.001, respectively); however, concurrent cancer did not seem to be an effect modifier (p >0.05). There was no difference in annual residual family income by cancer status; however, 3 lowest deciles of residual income representing 21.1% cancer-survivor with MI had a residual income of <$9,000. MI continues to represent an immense source of financial and perceived stress. In conclusion, although cancer patients face a higher risk of subsequent MI, this does not appear to advance their reported stress significantly.

Promotional Payments Made to Urologists by the Pharmaceutical Industry and Prescribing Patterns for Targeted Therapies

OBJECTIVE

To measure the association between market-level promotional payments to urologists by the manufacturers of abiraterone and enzalutamide and national prescribing patterns.

METHODS

A 20% national sample of the 2015 Part D event file was used to identify patients filling their first prescription for abiraterone and enzalutamide and their prescribing physicians. The 2015 Open Payments data were used to characterize promotional payments made to physicians at the market level. Generalized linear models were then used to measure the relationship between market-level payments to urologists and the physician specialty prescribing abiraterone or enzalutamide for the first time RESULTS: In 2015, 2318 men filled a prescription for abiraterone or enzalutamide by a urologist or medical oncologist. Increasing market-level promotional payments to urologists for abiraterone or enzalutamide was strongly associated with a urologist prescribing either drug-24.3% versus 5.8% of those residing in the markets with highest and lowest level of promotional payments to urologists, respectively (P <.01). Neither the number of urologists residing in a market nor other promotional payment measures (ie, to medical oncologists for these drugs, or to all physicians for all other drugs) were associated with a urologist prescribing either drug.

CONCLUSION

Promotional payments to urologists at the market level are strongly associated with the specialty of the physician prescribing abiraterone or enzalutamide for the first time. Future work should elucidate the effects of the shift in prescribing patterns on quality of care and financial hardship for men with advanced prostate cancer.

Health care utilization by men with prostate cancer during the year before their death: A 2015 population-based study

INTRODUCTION

To study the characteristics and health care utilization of men with prostate cancer (PCa) during their last year and last month of life, as these data have been rarely reported to date.

SUBJECTS AND METHOD

Men covered by the national health Insurance general scheme (77% of the French population) treated for PCa (2014-2015), who died in 2015 were identified in the national health data system, including reimbursed hospital and outpatient care, and their causes of death.

RESULTS

A total of 11,193 men (mean age: 81 years, SD: 9.6) were included. Almost 58% of these men died in a short-stay hospital (SSH), 4% died in hospital-at-home, 9% died in Rehab, 9% died in skilled nursing homes and 21% died at home. During the last year of life, almost all men were hospitalised at least once in SSH and 47% received hospital palliative care (HPC), immediately prior to death in 8% of cases. During the last month of life, 76% of men were hospitalised at least once in SSH, 43% attended an emergency department and 14% were admitted to intensive care, 7% received a chemotherapy session, and 24% received an antineoplastic agent dispensed by a retail pharmacy. Cancer was the main cause of death for 63% of men, corresponding to PCa in 40% of cases, and cardiovascular disease was the main cause of death for 13% of men with marked variations according to age, place of death, and use of HPC. The mean cost reimbursed per man during the last year of life was €38,750 (€48,601 including HPC).

CONCLUSIONS

In France, end-of-life management of men with PCa, regardless of the cause of death, is centered on SSH and HPC, essentially at the time of death. Certain indicators of end-of-life management were particular high.

LEVEL OF EVIDENCE

4.

Costs of cancer along the care continuum: What we can expect based on recent literature

BACKGROUND

Cancer costs should be discussed by patients and providers, but information is not readily available. Results from recently published studies (in the last 5 years) on direct and indirect cancer costs may help guide these discussions.

METHODS

The authors reviewed studies published between 2013 and 2017 that reported direct health care costs and indirect (productivity losses) costs. The annual mean total and net costs of cancer were summarized for all payers and for survivors only by age (ages 18-64 and ≥65 years), by phase of care (initial [ie, 12 months from diagnosis], continuing, and end-of-life [ie, 12 months before death]), or for recently diagnosed (within 1-2 years of diagnosis) and longer term survivors.

RESULTS

For all payers combined, costs for cancers like breast, prostate, colorectal, and lung cancers were $20,000 to $100,000 in the initial phase, $1000 to $30,000 annually in the continuing phase, and ≥$60,000 in the end-of-life phase. Annual out-of-pocket costs to recently diagnosed survivors were >$1000 for medical care and time costs, approximately $2000 for productivity losses, and from $2500 to >$4000 for employment disability, depending on age. For longer term survivors, the cost of medical care was approximately $1500 for older survivors and $747 for younger survivors, time costs were $831 to $955 for older survivors and $459 to $630 for younger survivors, and productivity losses were approximately $800. Disability among long-term survivors was similar to that among short-term survivors. Limitations of the reviewed studies included older data and under-representation of higher cost cancers.

CONCLUSIONS

Frequently updated cost information for all cancer types is needed to guide discussions of anticipated short-term and long-term cancer-related costs with survivors. Cancer 2018;000:000-000. © 2018 American Cancer Society.

Hospital and clinical care costs associated with atrial fibrillation for Medicare beneficiaries in the Cardiovascular Health Study and the Framingham Heart Study

Background

Atrial fibrillation is increasingly prevalent as the US population ages and is associated with significant morbidity and mortality. Care for patients with atrial fibrillation can be costly, US health care costs are comparatively high, and there are few cost estimates available that incorporate detailed measurement of comorbidities and their effects on costs.

Methods and Results

In the Cardiovascular Health Study and the Framingham Heart Study, participants aged 65 years or older with newly diagnosed atrial fibrillation were matched on age and follow-up time to referents free of atrial fibrillation. The total clinical and hospital medical costs paid by Medicare Parts A and B (drug costs from Medicare Part D costs were not included) in the year prior to diagnosis (or matching) were compared with costs in the following year. Estimates were adjusted for other medical conditions and adjusted to 2009 dollars. In the Cardiovascular Health Study, 513 participants were diagnosed with new-onset atrial fibrillation and survived 30 days post-atrial fibrillation diagnosis, and 513 referents (as a control cohort) were identified, with a mean age of 77 years. In the Framingham Heart Study, we identified 336 participants diagnosed with atrial fibrillation, who survived 30 days post-atrial fibrillation diagnosis and matched these participants to 336 referents. We compared these new-onset atrial fibrillation participants with referents, using a difference in difference design to account for both time trends and differences between the two groups. The adjusted incremental cost for participants with atrial fibrillation, compared with referents, was US$18,060 (95% confidence interval: US$14,965-US$21,155) in the Cardiovascular Health Study and US$20,012 (95% confidence interval: US$15,057-US$24,966) in the Framingham Heart Study. The pooled estimate was US$18,601 (95% confidence interval: US$15,981-US$21,234).

Conclusion

Atrial fibrillation was associated with increased costs in the year after diagnosis in two community-based cohorts, even after careful accounting for age, time period, and systematically measured comorbidities.